Wireless body sensor networks (WBSNs) are characterized by a large number of battery‐
powered wireless sensor nodes, and the most challenging aspects of WBSNs are sensor …

Spatial distributions of data of natural phenomena can be estimated by using different
spatial interpolation techniques. These techniques can be used for the purpose of …

Can health conditions be inferred from an individual's mobility pattern? Existing research
has discussed the relationship between individual physical activity/mobility and well-being …

The main objective of Multi-access Edge Computing (MEC) is to bring computational
capabilities at the edge of the network to better support low-latency applications. Such …

Qualitative and quantitative user studies can reveal valuable insights into user behavior,
which in turn can assist system designers in providing better user experiences. Car sharing …

Recent years have witnessed much work unraveling human mobility patterns through urban
visitation and location check-in data. Traditionally, user visitation and check-in have been …

Data from the cellular network have been proved as one of the most promising way to
understand large-scale human mobility for various ubiquitous computing applications due to …

The development of novel techniques for social modeling in the context of surveillance
applications has significantly reduced manual processing of large and continuous video …

The increasing trend of the traffic demand from mobile users and the presence of limited
resources creates a challenge for network resource management. Understanding the data …

The theme of human mobility is transversal to multiple fields of study and applications, from
ad hoc networks to smart cities, from transportation planning to recommendation systems on …